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23-07-2018 | Uitgave 1/2019

Early socioeconomic adversity and cardiometabolic risk in young adults: mediating roles of risky health lifestyle and depressive symptoms

Tijdschrift:: Journal of Behavioral Medicine > Uitgave 1/2019

Auteurs:: Tae Kyoung Lee, Kandauda A. S. Wickrama, Catherine Walker O’Neal

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Abstract

The study examined the mediating roles of risky health lifestyle and depressive symptoms in relation to childhood/adolescence adversity and young adult cardiometabolic risk with data from the National Longitudinal Study of Adolescent to Adult Health (n = 9421). Four classes of youth emerged from a latent class analysis with varying early adversity patterns: (a) both low disadvantaged SES and stressful experience (54.8%), (b) high disadvantaged SES and low stressful experience (31.0%), (c) low disadvantaged SES and high stressful experience (10.9%), and (d) both high disadvantaged SES and stressful experience (3.3%). Early adversity had multiple direct and indirect effects on CM risk for those experiencing SES-related adversities. Instead, early adversity generated mediational processes between adversity and CM risks through risky health lifestyle and depressive symptoms for those experiencing stressful experience. Implications for intervention when dealing with youths who have experienced multiple forms of early adversity are discussed.

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Meer informatie

Adkins, D. E., Daw, J. K., Mcclay, J. L., & Van den Oord, E. J. C. G. (2012). The influence of five monoamine genes on trajectories of depressive symptoms across adolescence and young adulthood. Development and Psychopathology, 24, 267–285. https://doi.org/10.1017/S0954579411000824 CrossRefPubMedPubMedCentral

Anand, S. S., Hawkes, C., De Souza, R. J., Mente, A., Dehghan, M., Nugent, R., et al. (2015). Food consumption and its impact on cardiovascular disease: Importance of solutions focused on the globalized food system. Journal of the American College of Cardiology, 66, 1590–1614. https://doi.org/10.1016/j.jacc.2015.07.050 CrossRefPubMedPubMedCentral

Brody, G. H., Yu, T., Chen, Y., Kogan, S. M., Evans, G. W., Beach, S. R. H., et al. (2013). Cumulative socioeconomic status risk, allostatic load, and adjustment: A prospective latent profile analysis with contextual and genetic protective factors. Developmental Psychology, 49, 913–927. https://doi.org/10.1037/a0028847 CrossRefPubMed

Burdette, A., & Needham, B. (2012). Neighborhood environment and body mass index trajectories from adolescence to adulthood. Journal of Adolescent Health, 50, 30–37. https://doi.org/10.1016/j.jadohealth.2011.03.009 CrossRefPubMed

Caspi, A., Harrington, H., Moffitt, T. E., Milne, B. J., & Poulton, R. (2006). Socially isolated children 20 years later: Risk of cardiovascular diseases. Archives of Pediatrics and Adolescent Medicine, 160, 805–811. https://doi.org/10.1001/archpedi.160.8.805 CrossRefPubMed

Cohen, S., Janicki-Deverts, D., Chen, E., & Matthews, K. A. (2010). Childhood socioeconomic status and adult health. Annals of the New York Academy of Science, 1186, 37–55. https://doi.org/10.1111/j.1749-6632.2009.05334.x CrossRef

Doom, J. R., Mason, S. M., Suglia, S. F., & Clark, C. J. (2017). Pathways between childhood/adolescent adversity, adolescent socioeconomic status, and long-term cardiovascular disease risk in young adulthood. Social Science and Medicine, 188, 166–175. https://doi.org/10.1016/j.socscimed.2017.06.044 CrossRefPubMed

Frech, A. (2012). Healthy behavior trajectories between adolescence and young adulthood. Advances in Life Course Research, 17, 59–68. https://doi.org/10.1016/j.alcr.2012.01.003 CrossRefPubMedPubMedCentral

Guerry, J. D., & Hastings, P. D. (2011). In search of HPA axis dysregulation in child and adolescent depression. Clinical Child and Family Psychology Review, 14, 135–160. https://doi.org/10.1007/s10567-011-0084-5 CrossRefPubMedPubMedCentral

Hirshkowitz, M., Whiton, K., Albert, S. M., Alessi, C., Bruni, O., DonCarlos, L., et al. (2015). The National Sleep Foundation’s sleep time duration recommendations: Methodology and results summary. Sleep Health, 1, 40–43. https://doi.org/10.1016/j.sleh.2014.12.010 CrossRefPubMed

Horan, J. M., & Widom, C. S. (2015). Cumulative childhood risk and adult functioning in abused and neglected children grown up. Development and Psychopathology, 27, 927–941. https://doi.org/10.1017/S095457941400090X CrossRefPubMed

Kittleson, M. M., Meoni, L. A., Wang, N. Y., Chu, A. Y., Ford, D. E., & Klag, M. J. (2006). Association of childhood socioeconomic status with subsequent coronary heart disease in physicians. Archives of Internal Medicine, 166, 2356–2361. https://doi.org/10.1001/archinte.166.21.2356 CrossRefPubMed

Krueger, P. M., & Chang, V. W. (2008). Being poor and coping with stress: Health behaviors and the risk of death. American Journal of Public Health, 98, 889–896. https://doi.org/10.2105/AJPH.2007.114454 CrossRefPubMedPubMedCentral

Kuh, D., Ben-Shlomo, Y., Lynch, J., Hallqvist, J., & Power, C. (2003). Life course epidemiology. Journal of Epidemiology and Community Health, 57, 778–783. https://doi.org/10.1136/jech.57.10.778 CrossRefPubMedPubMedCentral

Lanza, S. T., & Rhoades, B. L. (2013). Latent Class Analysis: An alternative perspective on subgroups analysis in prevention and treatment. Prevention Science, 14, 157–168. https://doi.org/10.1007/s11121-011-0201-1 CrossRefPubMedPubMedCentral

Lawrence, E. M., Mollborn, S., & Hummer, R. A. (2017). Health lifestyles across the transition to adulthood: Implication for health. Social Science and Medicine, 193, 23–32. https://doi.org/10.1016/j.socscimed.2017.09.041 CrossRefPubMed

Lee, T. K., Wickrama, K. A. S., O’Neal, C. W., & Prado, G. (2018). Identifying diverse life transition patterns from adolescence to young adulthood: The influence of early socioeconomic context. Social Science Research, 70, 212–228. https://doi.org/10.1016/j.ssresearch.2017.12.001 CrossRefPubMed

Little, T. D. (2013). Longitudinal structural equation modeling. New York: Guilford Press.

Matthews, T., Danese, A., Wertz, J., Odgers, C. L., Ambler, A., Moffitt, T. E., et al. (2016). Social isolation, loneliness, and depression in young adulthood: A behavioural genetic analysis. Social Psychiatry and Psychiatric Epidemiology, 51, 339–348. https://doi.org/10.1007/s00127-016-1178-7 CrossRefPubMedPubMedCentral

McEwen, B. S. (1998). Stress, adaptation, and disease: Allostasis and allostatic load. Annals of the New York Academy of Sciences, 840, 33–44. https://doi.org/10.1111/j.1749-6632.1998.tb09546.x CrossRefPubMed

McEwen, B. S. (2012). Brain on stress: How the social environment gets under the skin. Proceeding of the National Academy of Sciences of the United States of America, 109, 17180–17185. https://doi.org/10.1073/pnas.1121254109 CrossRef

McLachlan, G., & Peel, D. (2000). Finite mixture models. New York: Wiley. https://doi.org/10.1002/0471721182 CrossRef

Miller, G. E., Chen, E., & Parker, K. J. (2011). Psychological stress in childhood and susceptibility to the chronic diseases of aging: Moving toward a model of behavioral and biological mechanisms. Psychological Bulletin, 137, 959–997. https://doi.org/10.1037/a0024768 CrossRefPubMedPubMedCentral

Nazmi, A., Gonzalez, D. C., Oliveira, I. O., Horta, B. L., Gigante, D. P., & Victora, C. G. (2009). Life course weight gain and C-reactive protein levels in young adults: Findings from a Brazilian birth cohort. American Journal of Human Biology, 21, 192–199. https://doi.org/10.1002/ajhb.20852 CrossRefPubMed

Pampel, F. C., Krueger, P. M., & Denney, J. T. (2010). Socioeconomic disparities in health behaviors. Annual Review of Sociology, 36, 349–370. https://doi.org/10.1146/annurev.soc.012809.102529 CrossRefPubMedPubMedCentral

Prawitz, A. D., Kalkowski, J. C., & Cohart, J. (2013). Responses to economic pressure by low-income families: Financial distress and hopefulness. Journal of Family and Economic Issues, 34, 29–40. https://doi.org/10.1007/s10834-012-9288-1 CrossRef

Pugh, C. R., Fleshner, M., Watkins, L. R., Maier, S. F., & Ruby, J. W. (2001). The immune system and memory consolidation: A role for the cytokine IL-1b. Neuroscience and Biobehavioral Reviews, 25, 29–41. https://doi.org/10.1016/S0149-7634(00)00048-8 CrossRef

Radloff, L. S. (1977). The CES-D: A self-report depression scale for research in the general population. Applied Psychological Measurement, 3, 385–401. https://doi.org/10.1177/014662167700100306 CrossRef

Saydah, S., Bullard, K. M., Imperatore, G., Geiss, L., & Gregg, E. W. (2013). Cardiometabolic risk factors among US adolescents and young adults and risk of early mortality. Pediatrics, 31, e679–e686. https://doi.org/10.1542/peds.2012-2583 CrossRef

Scheidell, J. D., Quinn, K., McGorray, S. P., Frueh, B. C., Beharie, N. N., Cottler, L. B., et al. (2018). Childhood traumatic experiences and the association with marijuana and cocaine use in adolescence through adulthood. Addiction, 113, 44–56. https://doi.org/10.1111/add.13921 CrossRefPubMed

Seplaki, C. L., Goldman, N., Weinstein, M., & Lin, Y. H. (2004). How are biomarkers related to physical and mental well-being? Journal of Gerontology: Biological Sciences, 59, B201–B217. https://doi.org/10.1093/gerona/59.3.B201 CrossRef

Shin, S. H., & Miller, D. P. (2012). A longitudinal examination of childhood maltreatment and adolescent obesity: Results from the National Longitudinal study of Adolescent Health (AddHealth) Study. Child Abuse and Neglect, 6, 84–94. https://doi.org/10.1016/j.chiabu.2011.08.007 CrossRef

Spence, C. (2017). Breakfast: The most important meal of the day? International Journal of Gastronomy and Food Science, 8, 1–6. https://doi.org/10.1016/j.ijgfs.2017.01.003 CrossRef

Stringhini, S., Batty, G. D., Bovet, P., Shipley, M., Marmot, M. G., Kumari, M., et al. (2013). Association of lifecourse socioeconomic status with chronic inflammation and type 2 diabetes risk: The Whitehall II prospective cohort study. PLoS Medicine, 10, e1001479. https://doi.org/10.1371/journal.pmed.1001479 CrossRefPubMedPubMedCentral

Telama, R., Yang, X., Laakso, L., & Viikari, J. (1997). Physical activity in childhood and adolescence as predictor of physical activity in young adulthood. American Journal of Preventive Medicine, 13, 317–323. https://doi.org/10.1016/S0749-3797(18)30182-X CrossRefPubMed

Wen, M., & Maloney, T. N. (2011). Latino residential isolation and the risk of obesity in Utah: The role of neighborhood socioeconomic, built-environmental, and subcultural context. Journal of Immigrant and Minority Health, 13, 1134–1141. https://doi.org/10.1007/s10903-011-9439-8 CrossRefPubMedPubMedCentral

Wickrama, K. A. S., Bae, D., & O’Neal, C. W. (2017). Explaining the association between early adversity and young adults’ diabetes outcomes: Physiological, psychological, and behavioral mechanisms. Journal of Youth and Adolescence, 46, 2407–2420. https://doi.org/10.1007/s10964-017-0639-y CrossRefPubMed

Wickrama, K. A. S., Kwon, J. A., Oshri, A., & Lee, T. K. (2014). Early socioeconomic adversity and young adult physical illness: The role of body mass index and depressive symptoms. Journal of Adolescent Health, 55, 556–563. https://doi.org/10.1016/j.jadohealth.2014.04.006 CrossRefPubMed

Wickrama, K. A. S., Lee, T. K., & O’Neal, C. W. (2013). Mothers’ marital history and the physical and mental health of young adults: An investigation over the early life course. Journal of Adolescence, 36, 1039–1051. https://doi.org/10.1016/j.adolescence.2013.08.012 CrossRefPubMed

Wickrama, K. A. S., Lee, T. K., O’Neal, C. W., & Lorenz, F. O. (2016a). Higher-order growth curves and mixture modeling with Mplus: A practical guide. New York: Routledge. CrossRef

Wickrama, K. A. S., Lee, T. K., & O’Neal, C. W. (2015a). Stressful life experiences in adolescence and cardiometabolic risk factors in young adulthood. Journal of Adolescent Health, 56, 456–463. https://doi.org/10.1016/j.jadohealth.2014.12.009 CrossRefPubMed

Wickrama, K. A. S., O’Neal, C. W., & Lee, T. K. (2016b). The health impact of upward mobility: Does socioeconomic attainment make youth more vulnerable to stressful circumstances? Journal of Youth and Adolescence, 45, 271–285. https://doi.org/10.1007/s10964-015-0397-7 CrossRefPubMed

Wickrama, K. A. S., O’Neal, C. W., Lee, T. K., & Wickrama, T. (2015b). Early socioeconomic adversity, youth positive development, and young adults’ cardio-metabolic disease risk. Health Psychology, 34, 905–914. https://doi.org/10.1037/hea0000208 CrossRefPubMed

Xu, J., Kochanek, K. D., Murphy, S. L., & Arias, E. (2014). Mortality in the United States, 2012. NCHS Data Brief, 168, 1–8.

Zakynthinos, E., & Pappa, N. (2004). Inflammatory biomarkers in coronary artery disease. Journal of Cardiology, 53, 317–333. https://doi.org/10.1016/j.jjcc.2008.12.007 CrossRef

Titel: Early socioeconomic adversity and cardiometabolic risk in young adults: mediating roles of risky health lifestyle and depressive symptoms
Auteurs:: Tae Kyoung Lee
Kandauda A. S. Wickrama
Catherine Walker O’Neal
Publicatiedatum: 23-07-2018
DOI: https://doi.org/10.1007/s10865-018-9952-5
Uitgeverij: Springer US
Tijdschrift: Journal of Behavioral Medicine
Uitgave 1/2019
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521

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Early socioeconomic adversity and cardiometabolic risk in young adults: mediating roles of risky health lifestyle and depressive symptoms

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